Against the clock: Effect of late detection of a mumps outbreak in the Western North Region of Ghana, 2022 by Marion Okoh-Owusu, Joshua Billy, Samuel Dapaa, Patrick Avevor, Osei Sakyi, Samuel Twum-Andoh, Saibu Adama Sawadigo, Ephraim Foanor Kwadzodeh, Martha Arkaa Kotey, Gyesi Razak Issahaku, Seidu Salifu, Kingsley Osei-Kwakye, Dennis Laryea, Franklin Asiedu Bekoe

“…Mumps vaccination is not included in Ghana’s Extended Program on Immunization (EPI). In March 2022, the Western North Region of Ghana experienced an outbreak of mumps. …”
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Genomic sequencing surveillance of patients colonized with vancomycin-resistant enterococci improves detection of healthcare-associated transmission by Alexander J. Sundermann, Vatsala Rangachar Srinivasa, Emma G. Mills, Marissa P. Griffith, Eric Evans, Jieshi Chen, Kady D. Waggle, Graham M. Snyder, Lora Lee Pless, Lee H. Harrison, Daria Van Tyne

“…The inclusion of rectal swab isolates increased the detection of clinical isolate clusters (from 53 to 67%, P < 0.01). …”
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Development and validation of a high-throughput qPCR platform for the detection of soil-transmitted helminth infections. by Nils Pilotte, Victor Omballa, Monica Voss, Leah Padgett, Malathi Manuel, Jeanne L Goodman, Tim Littlewood, Zayina Zondervenni Manoharan, Lisette van Lieshout, Jaco J Verweij, Manigandan Sekar, Ajith Kumar Muthukumar, Gretchen Walch, Abriana Warren, Mariyam Sheikh, Andrew Gonzalez, Sean R Galagan, Sitara Swarna Rao Ajjampur, Moudachirou Ibikounlé, Steven A Williams, Doug Rains, Ushashi Dadwal, Judd L Walson

“…<h4>Methodology/principal findings</h4>Through the development, selection, and validation of appropriate controls, we have successfully created and evaluated the performance of a testing platform capable of the semi-automated, high-throughput detection of four species of STH in human stool samples. …”
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Gold-coated ZnO nanostructures on no-core optical fiber for ammonia detection in food spoilage applications by Suphavit Thaneerat, Karnpote Roekwibunsi, Gaurika Vasan, Kankan Swargiary, Ratchawi Jammee, Dalawan Limthin, Pannathorn Jitpratak, Charusluk Viphavakit

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Discrepancies between physician review and algorithmic detection of the zoll rescuenet post-cardiac arrest case review by Ayal Z. Pierce, Cody Couperus, Jordan Parker, Allison LaRocco, Michael Mazzeffi, Nicholas A. Morris

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Synergy of Xpert (MTB/RIF) and Line probe assay for detection of rifampicin resistant strains of Mycobacterium tuberculosis by Shahida Hussain, Sikander Sultan, Saba Riaz, Hajra Hussain, Hasnain Javed, Rabia Mazhar

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A Review of Machine Learning and Transfer Learning Strategies for Intrusion Detection Systems in 5G and Beyond by Kinzah Noor, Agbotiname Lucky Imoize, Chun-Ta Li, Chi-Yao Weng

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PEARL: An Adaptive and Explainable Hardware Trojan Detection Using Open Source and Enterprise Large Language Models by Ripan Kumar Kundu, Khurram Khalil, Eric Garcia, Ethan Grassia, Prasad Calyam, Khaza Anuarul Hoque

“…However, there are no current studies that explore, study, and compare the applicability of open-source vs. enterprise LLMs for efficient HT detection and explanation of the detected HT. To close the gap, we propose an innovative HT detection and explanation method by leveraging the knowledge of a pre-trained LLM, namely enterprise application programming interface (API)-enabled a Generative Pre-trained Transformer (GPT)-3.5 Turbo, Google Gemini 1.5 Pro and open-source LLMs: Meta AI Llama-3.1 and DeepSeek AI DeepSeek-V2 models, which have already been trained on massive and diverse datasets and is capable of providing the reasoning of the detected HT. …”
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MXT-YOLOv7t: An Efficient Real-Time Object Detection for Autonomous Driving in Mixed Traffic Environments by Afdhal Afdhal, Khairun Saddami, Mirshal Arief, Sugiarto Sugiarto, Zahrul Fuadi, Nasaruddin Nasaruddin

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Protocol for a systematic review of reviews on training primary care providers in dermoscopy to detect skin cancers by Leo Ng, Louisa G Gordon, Nikki McCaffrey, Jessica Bucholc, Kevin Chai, Ann Livingstone, April Murphy

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Sustainable phytoprotection: a smart monitoring and recommendation framework using Puma Optimization for potato pathogen detection by Amal H. Alharbi, Faris H. Rizk, Khaled Sh. Gaber, Marwa M. Eid, Marwa M. Eid, El-Sayed M. El-kenawy, El-Sayed M. El-kenawy, Pushan Kumar Dutta, Doaa Sami Khafaga

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Development of Lower Limb Exoskeleton Rehabilitation Robot Framework Based on Multi-Modal Motion Intent Detection by Yuefei Wang, Yudong Fang, Wujia Huang, Zhen Liu, Chenglong Zhao, Muxin Du, Liucun Zhu

“…The EMG-based motor command correction framework involves the EMG dry electrode sensor immobilized to the muscle areas of the affected limb where activation is possible. By detecting muscle activation with the EMG sensor, the framework corrects the intentional control commands after EEG acquisition and processing. …”
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Comparison of diagnostic image modalities for the detection of Achilles tendon tendinopathy using ankle magnetic resonance imaging by Joohyun Lee, Jee Young Lee, Keum Nae Kang, Soyoon Park, Jae Ni Jang, Sukhee Park, Young Uk Kim

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Tracking a large‐scale and highly toxic Arctic algal bloom: Rapid detection and risk communication by Evangeline Fachon, Robert S. Pickart, Gay Sheffield, Emma Pate, Mrunmayee Pathare, Michael L. Brosnahan, Eric Muhlbach, Kali Horn, Nathaniel N. Spada, Anushka Rajagopalan, Peigen Lin, Leah T. McRaven, Loreley S. Lago, Jie Huang, Frank Bahr, Dean A. Stockwell, Katherine A. Hubbard, Thomas J. Farrugia, Kathi A. Lefebvre, Donald M. Anderson

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Concurrent Tuberculosis and COVID-19 Testing from a Single Sputum Specimen for Enhanced Disease Detection by Anura David, Leisha Genade, Lesley Erica Scott, Manuel Pedro da Silva, Lyndel Singh, Wendy Stevens, Neil Martinson

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Enhancing laparoscopic surgery training: a comparative study of traditional models and automated error detection system by Yitian Luo, Jingjie Wang, Zongting Yan, Jingjing He, Liye Fu, Shenghan Wang, Ying Han, Yaoyu Fu, Xiandi Wang, Kang Li, Rong Yin, Dan Pu

“…Traditional training models rely on subjective instructor evaluations, which are time-consuming and lack objective error detection. This study evaluates the efficacy of an Automated Error Detection System (AEDS), designed to provide real-time feedback on mistouch error counts, in improving laparoscopic skill acquisition compared to conventional methods. …”
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Artificial intelligence-assisted colonoscopy with or without mucosal exposure device for detection of colorectal adenomas: Meta-analysis by Azizullah Beran, Tarek Nayfeh, Daryl Ramai, Almaza Albakri, Nasir Saleem, Marco Spadaccini, Cesare Hassan, Alessandro Repici, John J. Guardiola, Douglas K. Rex

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In vitro performance of DIAGNOdent laser fluorescence device for dental calculus detection on human tooth root surfaces by Thomas E. Rams, Abdulaziz Y. Alwaqyan

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Detection of GFAP and D‐Dimer in a Point‐of‐Care Test for Large Vessel Occlusion Ischemic Stroke by Edoardo Gaude, Danielle Murphy, Jakob V.E. Gerstl, Ari D. Kappel, Adam A. Dmytriw, Noah L.A. Nawabi, Saef Izzy, Rodolfo E. Alcedo Guardia, Juan C. Vicenty‐Padilla, Toby Gropen, Nirav J. Patel, David S. Liebeskind, Adnan H. Siddiqui, Alfred Pokmeng See, Mohammed A. Aziz‐Sultan, Joshua D. Bernstock

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DNA barcoding of Culicoides biting midges (Diptera: Ceratopogonidae) and detection of Leishmania and other trypanosomatids in southern Thailand by Piyapat Tepboonrueng, Thanapat Pataradool, Rungfar Boonserm, Luke W. Rimmer, Kanok Preativatanyou, Sakone Sunantaraporn, Padet Siriyasatien

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